Function:OpticalFlowPyrLKDense

Computes Dense Optical Flow between each pixel of two images using pyramidal Lucas-Kanade method.

Function

CuviStatus opticalFlowPyrLKDense(CuviImage* previousImage, CuviImage* nextImage, Cuvi32f* flowX Cuvi32f* flowY, CuviTrackingCriteria criteria, CuviStream* stream = NULL);

Parameters

Name	Type	Description
previousImage	CuviImage*	The first image whose features are to be tracked
nextImage	CuviImage*	Second image, in which to look for features of first image
flowX	Cuvi32f*	Horizontal optical flow
flowY	Cuvi32f*	Vertical optical flow
criteria	CuviFeaturesCriteria	A structure containing various parameters that affect optical flow calculation
stream	CuviStream*	GPU stream ID for execution

Image Type Support

Input	Output
2x 8uC1	2x Cuvi32f*

Samples

First Input Image (8-bit)	Second Input Image (8-bit)
Optical Flow Magnitude	Flow of selected points

Example

//Image size CuviSize size = cuviSize(width,height); //Create two 8-bit Grays-scale CuviImage objects CuviImage* gimg1 = new CuviImage(size,8,1); CuviImage* gimg2 = new CuviImage(size,8,1); //Populate the GPU Images gimg1->upload(img1->imageData,img1->widthStep); gimg2->upload(img2->imageData,img2->widthStep); Cuvi32f* flowX = new Cuvi32f[width * height]; Cuvi32f* flowY = new Cuvi32f[width * height]; //tracking criteria CuviTrackingCriteria tc = cuviTrackingCriteria(2,cuviSize(12,12)); //Compute optical flow between first frame and second frame cuvi::computerVision::opticalFlowPyrLKDense(gimg1,gimg2,flowX,flowY,tc);